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Towards Automatic Identification of Cerebral Arteries in 4D Flow MRI
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics.
Umeå University, Faculty of Medicine, Department of Radiation Sciences, Radiation Physics. Umeå University, Faculty of Medicine, Umeå Centre for Functional Brain Imaging (UFBI).
Umeå University, Faculty of Medicine, Department of Pharmacology and Clinical Neuroscience, Clinical Neuroscience.
Umeå University, Faculty of Science and Technology, Centre for Biomedical Engineering and Physics (CMTF). Umeå University, Faculty of Medicine, Department of Radiation Sciences.
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2015 (English)In: 16th Nordic-Baltic Conference on Biomedical Engineering / [ed] Henrik Mindedal, Mikael Persson, 2015, Vol. 48, 40-43 p.Conference paper, Published paper (Refereed)
Abstract [en]

4D flow MRI is a powerful imaging technique which provides an angiographic image with information about blood flow in a large volume, time resolved over the cardiac cycle, in a short imaging time. This study aims to develop an automatic method for identification of cerebral arteries. The proposed method is based on an atlas of twelve arteries, developed from 4D flow MRI of 25 subjects. The atlas was constructed by normalizing all images to MNI-space, manually identifying the arteries and creating an average over the volume. The identification is done by extracting a vascular skeleton from the image, transforming it to MNI-space, labeling it with the atlas and transforming it back to subject space. The method was evaluated on a pilot cohort of 8 subjects. The rate of correctly identified arteries was 97%.

Place, publisher, year, edition, pages
2015. Vol. 48, 40-43 p.
Series
IFMBE Proceedings, ISSN 1680-0737 ; 48
Keyword [en]
Cerebral arteries, automatic labeling, 4D flow MRI, cerebrovascular atlas
National Category
Neurosciences
Identifiers
URN: urn:nbn:se:umu:diva-100149DOI: 10.1007/978-3-319-12967-9_11ISI: 000347893000011ISBN: 978-3-319-12966-2 (print)ISBN: 978-3-319-12967-9 (print)OAI: oai:DiVA.org:umu-100149DiVA: diva2:790964
Conference
16th Nordic-Baltic Conference on Biomedical Engineering, October 14-16, 2014, Gothenburg, Sweden
Available from: 2015-02-26 Created: 2015-02-24 Last updated: 2015-10-01Bibliographically approved

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Dunås, ToraWåhlin, AndersZarrinkoob, LalehAmbarki, KhalidMalm, JanEklund, Anders
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Radiation PhysicsUmeå Centre for Functional Brain Imaging (UFBI)Clinical NeuroscienceCentre for Biomedical Engineering and Physics (CMTF)Department of Radiation Sciences
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